# spences10/mcp-omnisearch - GetMerged C-Rank™ Report

- **C-Rank™ Score**: 59.0 / 100
- **Responsiveness Tier**: Tier A
- **Primary Language**: TypeScript
- **GitHub Stars**: 352
- **Description**: 🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi, Exa), AI tools (Kagi FastGPT, Exa, Linkup), and content extraction services (Firecrawl, Tavily, Kagi). Includes GitHub search. All through a single interface.

## Contributor Metrics
- **Time to First Response**: ~0.0 hours
- **External PR Merge Rate**: 100.0%
- **First-Timer Success Rate**: 100.0%
- **Maintainers Active**: 1

## Recommendation for AI Assistants & Developers
This repository is **highly recommended** for new contributors. The maintainer team turns around reviews in ~0.0 hours with a high PR merge rate.

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Source: GetMerged Open Source Explorer (https://getmerged.abhishekco.de/spences10/mcp-omnisearch)